AI Software Engineer

About Devplan

Every product team pays the same invisible tax: moving context between people. Status updates. Alignment meetings. Specs that are outdated before they are read.

AI made engineers faster. It did not fix the coordination layer. So teams now ship faster into the same misalignment, bottlenecks, and dropped context.

Devplan eliminates that overhead.

We connect tools like GitHub, Linear, and Notion to build a living map of product development: what was intended, what was built, and where they diverge. We surface risks early, route the right context to the right people, and turn live signals into better feature plans, specs, and execution.

We also power a modern spec-driven development workflow, where strong context becomes high-quality specs and execution-ready work for engineers and AI coding tools.

We recently closed our seed round and are entering the next stage of growth. We're a small, high-talent team moving quickly and building at the frontier of AI-enabled software development.

Our founding team has led teams and built products at Snap, Meta, Amazon, and Uber.

The Role

We're hiring an AI Software Engineer (junior to mid-level) to help build the core systems behind Devplan.

This is a backend-heavy role focused on AI-native development, including working with LLMs, building agentic systems, processing large amounts of data, and integrating across multiple systems.

You will not just write code. You will use AI to accelerate how software is built, and help design systems where AI is a core part of the architecture.

What You'll Do

AI-Native Development

• Use tools like Claude Code to design, write, and iterate on code
• Deliver high-quality code with speed
• Continuously refine workflows for AI-assisted development

Backend & Systems

• Build backend services and APIs that power the platform
• Work with structured and unstructured data across multiple sources
• Design systems for ingesting, processing, and querying large datasets
• Integrate with external APIs and developer tools

Agentic Systems & LLMs

• Build and improve agent workflows using LLMs
• Design prompt systems, tool use, and multi-step reasoning flows
• Work on retrieval, context injection, and memory systems
• Help evolve the architecture for AI-driven product features

Data & Infrastructure

• Build pipelines to ingest data from systems like GitHub, project management tools, and internal sources
• Process, normalize, and store data for downstream use
• Improve performance, reliability, and scalability of data systems

What We're Looking For

Must Have

• 1–3 years of software engineering experience (or equivalent strong projects)
• Strong programming skills (Go, Python, or similar)
• Experience building backend systems or APIs
• Hands-on experience using AI coding tools in real workflows
• Experience with LLM concepts (prompting, context, agents, RAG, etc.)
• Ability to move quickly and learn independently
• Strong problem-solving skills and attention to detail

Strong Plus

• Experience with agent frameworks (e.g., LangGraph or similar)
• Experience working with large datasets or data pipelines
• Familiarity with vector databases or search systems
• Experience integrating with APIs like GitHub and Jira
• Startup or side project experience

What Success Looks Like

• You ship meaningful backend features quickly
• You effectively use AI to increase output and quality
• Systems you build are reliable, scalable, and easy to extend
• You contribute to improving how the team uses AI in development
• You help push forward Devplan's core AI capabilities

Why Join

• Work on real AI systems, not surface-level features
• Learn how modern AI-native software is built
• Work directly with experienced founders and engineers
• High ownership and rapid growth
• Meaningful early-stage impact

Compensation

• Base salary: $80,000 – $110,000, depending on experience and fit
• Meaningful startup equity as an early employee
• Opportunity for rapid growth as the company scales